YPF Sociedad Anonima (YPF) continues to focus on shale in the Vaca Muerta. Read more on what investors should know about this ...

Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...

The landscape of next-generation sequencing (NGS) continues to be defined by astonishing technological progress. We continue ...

Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

This paper examines recent research on employment discrimination and addresses basic issues concerning who should be the focal subjects of employment discrimination research and which search terms ...

The README mentions a section on "Supported Databases" but does not provide specific examples or details on how to connect Superset to these databases. As a result, new users may find it challenging ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Following the shootings of two Minnesota lawmakers, NPR's Michel Martin speaks with Matthew Dallek, a historian and professor at George Washington University, about political violence in America. The ...

Technical skills are specialized hard skills developed through hands-on training and regular use. These skills are typically related to fields such as math, science, IT, or software tasks. Examples of ...

Databases publish data. This is undoubtedly the case for scientific and statistical databases, which have largely replaced traditional reference works. Database and Web technologies have led to an ...

Abstract: Labeling large datasets for constructing a text normalization system is cumbersome and time-consuming. Although some self-supervised learning models can reduce the amount of training data ...